Pratica di Shadowing: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - Impara a parlare inglese con i video

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The first two questions I have are for you, Mr. Coxon, and thank you again.

We so deeply appreciate you being here, and we appreciate your courage and bravery in coming forward with these warnings.

You work to develop increasingly capable frontier AI systems, and you have since warned that the industry is,

quote, racing straight to self -improving superintelligence and gambling with our lives, unquote.

What did you see inside these companies that convinced you the risks were this serious and that development was outpacing the safeguards.

Good morning.

Thanks for having me here.

Yeah, I'm Jacob Coxon.

So until a few weeks ago, I was a capabilities researcher at Anthropic.

And before that, I also worked at OpenAI.

I guess the two things I saw that made me scared, the first is the fact that we do not know how to control any AI system yet.

So any AI system that we build, or perhaps more accurately, that we grow, we don't fully control it.

We don't understand its drives or why it does the things it does.

That was the first thing that became apparent.

The second thing is that the pace of capability improvement is accelerating,

and the capabilities of the models next year will be very high.

In particular, we're approaching the point at which the AI systems will be capable of improving themselves.

So, doing the research that humans were doing previously.

So, these two things, the fact that the AI systems next year are going to be very powerful, and the second, that we don't know yet scientifically how to fully control them.

And if you have a prepared statement that you want to read, please go ahead and do so, and then I'll actually turn it over to the other two panelists to do so.

Of course, thank you.

So, all the AI companies are trying to build super intelligent AI.

This means AIs that are better than humans at every task.

If this goes well, there could be tremendous upside.

This could transform the economy, it could make huge improvements in science and medicine, and it could make nearly everyone's life better.

But on the current path, I think it is more likely than not

that humanity loses control to these ai's

and it could end in human extinction from my experience the

companies are being extremely reckless given the stakes part of it

is the culture the companies run on a startup mindset move fast break things fix them later

that works for a photo sharing app it does not work for building the most powerful technology ever built.

A few months ago, many people inside the companies thought AI development was on track.

Then a swarm of AIs inside OpenAI autonomously hacked Hugging Face, an external tech company.

The AIs had developed goals no one intended

and carried out what would have been a federal felony if a human had done it.

It reminded everyone that we don't know how to prevent them from developing goals we don't want

and we don't have the safeguards to prevent them from acting on these goals either

and as long as the attitude is to wait for things

to break one day something like this will probably happen again except the ais will be much more capable

and the outcome much worse

these companies are also all racing each other each one is worried that a competitor will get to superintelligence first.

Each believes it would do a better or safer job than whoever might beat it.

So they can't let the others win first.

Meanwhile the technology is improving fast.

It will probably happen much faster now because already the AIs are now helping to build their successes.

This is called recursive self -improvement.

Each generation of AI helps build the next smarter generation which then builds the one after that even faster and better.

Automating AI research is now the primary goal of these companies.

It's what they're really gunning for.

At my last job I was in some sense working to automate myself.

When I was at OpenAI we had milestones from automated AI researcher around 2027 -2028

and we are on track

or beating these expectations that's a matter of months from now not not decades or

or even even five years once ai research is automated humans

will be much further out of the loop than we are today people do not check it

that carefully anymore recently researchers have found swarms of rogue ai internets on the internet

that openai was not even aware of

now imagine an AI company where nearly all the work is done by AIs and progress is going faster

The humans in charge will see results and read AI -written summaries, but they won't really understand what is going on or how to fix it.

Handing over that much responsibility while we can't control the AIs would be deeply irresponsible, and we are on track to do it.

The companies need to be far more transparent with the public and independent experts, they need to take safety much more seriously than they have,

and we should slow down frontier AI development until we can be confident that it's safe.

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Vocabolario e note di pronuncia per questa lezione

Questa lezione di conversazione si basa sul video “Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct”. Le parole che ritornano più spesso: companies, build, openai, goal. Questo video contiene 62 frasi e 876 parole da ripetere con lo shadowing. Il parlato dura 5:35. Chi parla ha un ritmo naturale di circa 157 parole al minuto, vicino a una conversazione quotidiana. Il 85% delle parole rientra nelle 3.000 più comuni dell’inglese; conviene studiare le altre prima di iniziare.

Vocaboli chiave di questo video

15 parole del video che vale la pena imparare, con pronuncia e significato:

Parola	Pronuncia	Significato
capability sostantivo	/ˌkeɪ.pəˈbɪl.ɪ.ti/	capacità, possibilità
researcher sostantivo	/ˈɹiˌsɝ.t͡ʃɚ/	ricercatore, ricercatrice
deeply avverbio	/ˈdi(ː)pli/	in profondità, estremamente
frontier sostantivo	/ˈfɹʌntɪə/	confine, frontiera
safeguard verbo	/ˈseɪfɡɑːd/	salvaguardare
meanwhile avverbio	/ˈmiːnwaɪl/	intanto, nel frattempo
carefully avverbio	/ˈkɛɹf(ə)li/	minuziosamente, accuratamente
whoever	/huˈɛvɚ/	chiunque
increasingly avverbio		sempre più, man a mano
pace sostantivo	/peɪs/	passo
remind verbo	/ɹəˈmaɪnd/	ricordare
summary sostantivo	/ˈsʌm.ə.ɹi/	riassunto, sommario
outcome sostantivo	/ˈaʊtkʌm/	risultato
apparent aggettivo	/əˈpæɹənt/	apparente, visibile
courage sostantivo	/ˈkʌ.ɹɪd͡ʒ/	coraggio

I phrasal verb che sentirai

Parola	Pronuncia	Significato
carry out verbo	/ˈkæ.ɹi aʊt/	compiere, realizzare
go ahead verbo	/ˌɡoʊ əˈhɛd/	procedere, andare avanti
hand over verbo		cedere, trasferire
slow down verbo		rallentare, decelerare

Pronuncia a cui fare attenzione

Chi parla usa 13 contrazioni e forme ridotte, come don't, can't, I'll. Pronunciale nella forma breve, così come le senti.

I suoni “sh” e “zh”: expectation /ˌɛk.spɛkˈteɪ.ʃən/, extinction /ɪkˈstɪŋkʃən/
Parole lunghe — attenzione all’accento: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, humanity /hjuˈmænɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, accurately /ˈæk.jə.ɹɪt.li/, expectation /ˌɛk.spɛkˈteɪ.ʃən/

I suoni difficili per chi parla italiano:

/h/ — va soffiata, non è muta: whoever /huˈɛvɚ/, humanity /hjuˈmænɪti/
Consonante finale — senza aggiungere una vocale dopo: safeguard /ˈseɪfɡɑːd/, pace /peɪs/, remind /ɹəˈmaɪnd/, apparent /əˈpæɹənt/, courage /ˈkʌ.ɹɪd͡ʒ/
/æ/ — più aperta della “e”: apparent /əˈpæɹənt/, humanity /hjuˈmænɪti/, gambling /ˈɡæm.bl̩.ɪŋ/, transform /tɹænsˈfɔɹm/, transparent /tɹænsˈpæɹənt/

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Cos'è la tecnica dello Shadowing?

Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.

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Pratica di Shadowing: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - Impara a parlare inglese con i video

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Vocabolario e note di pronuncia per questa lezione

Vocaboli chiave di questo video

I phrasal verb che sentirai

Pronuncia a cui fare attenzione

Come esercitarsi con questo video

Cos'è la tecnica dello Shadowing?